Results 201 to 210 of about 75,448 (316)
Model predictive control with adaptive Kalman filter for premixed turbocharged natural gas engine. [PDF]
Xiong W, Gong Q, Huang S, Ye J, Xu J.
europepmc +1 more source
Using Angiosperms353 and plastid genome skimming approaches, the generic limits of Hyacinthinae were explored using DNA sequences to better understand their evolution. Floral morphology, a traditional generic delimiter, conflicts with the molecular groupings in many cases, but bulb morphology and cytogenetics define similar groups to DNA.
Hannah Hall +3 more
wiley +1 more source
Editorial Note: Research on improving the ranging accuracy of ships with stereo vision through Kalman filter optimization. [PDF]
PLOS One Editors.
europepmc +1 more source
Robust CDF‐Filtering of a Location Parameter
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania +2 more
wiley +1 more source
A Deep Learning-Enhanced Adaptive Kalman Filter with Multi-Scale Temporal Attention for Airborne Gravity Denoising. [PDF]
Li L, Liu J, Ma G, Jiang Z.
europepmc +1 more source
ABSTRACT The paper deals with the construction of a synthetic indicator of economic growth, obtained by projecting a quarterly measure of aggregate economic activity, namely gross domestic product (GDP), into the space spanned by a finite number of smooth principal components, representative of the medium‐to‐long‐run component of economic growth of a ...
Alessandro Giovannelli +2 more
wiley +1 more source
Research on the Control Algorithm for a Brushless DC Motor Based on an Adaptive Extended Kalman Filter. [PDF]
Jinwu T +5 more
europepmc +1 more source
Cointegration in a MIDAS Regression
ABSTRACT Mixed data sampling (MIDAS) cointegration models are used to analyse variables observed at different frequencies. In this paper, we start from an assumed autoregressive distributed lag (ADL) model for high‐frequency observations, and derive the resulting representation when the dependent variable is only observed at a lower frequency.
H. Peter Boswijk, Philip Hans Franses
wiley +1 more source
A Multi-Object Tracking Method with an Unscented Kalman Filter on a Lie Group Manifold. [PDF]
Wang X, Liu L, Li F.
europepmc +1 more source
Likelihood Estimation for Stochastic Differential Equations with Mixed Effects
ABSTRACT Stochastic differential equations provide a powerful tool for modelling dynamic phenomena affected by random noise. When time series are observed for several experimental units, it is often the case that some of the parameters vary between the individual experimental units.
Fernando Baltazar‐Larios +2 more
wiley +1 more source

